Agent Skills Hub

new-analyzer

Guide for implementing a new AI coding agent analyzer in Splitrail to track token usage, costs, and performance metrics.

agent-system

Implementation patterns for MERIDIAN autonomous AI agents using Claude API, including BaseAgent lifecycle, structured tool use, token budget enforcement, and cron scheduling.

browser-debugger

Comprehensive UI testing, visual fidelity analysis, and browser debugging using Chrome DevTools MCP and AI-driven vision models.

doc-updater

Automatically detect code changes and suggest documentation updates. Keeps READMEs, API specs, and configuration guides in sync with your implementation.

claude-api

Expert guidance for Claude Messages API: structured outputs, prompt caching, tool use, and migration from deprecated Claude 3.x models to 4.5. Prevents common API errors.

agno

Framework for building multi-agent systems, AgentOS runtimes, and MCP-integrated AI agents.

quality-metrics

Automate quality observability with DORA metrics, defect density tracking, and intelligent quality gate configuration for continuous delivery pipelines.

implementation

Structured, template-driven workflow for end-to-end feature development including coding, automated testing, verification, and session-based improvement.

basic-usage

Essential guide to llmemory for document storage and search: installation, database setup with pgvector, document ingestion, hybrid/semantic retrieval, and building RAG systems with multi-tenant support.

orchestration-patterns

Framework for orchestrating long-running agentic tasks, evidence-based delivery, and automated QA gates following Simon Willison's iterative loop.

smithery-ai-cli

Find, connect, and use over 100,000 MCP tools and skills via the Smithery CLI to integrate external services, manage agent workspaces, and automate workflows.

autoresearch

Autonomous multi-team codebase improvement agent with specialized modes: narrow (goal-directed), broad (hypothesis-divergent), and sweep (quality-focused).